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Table of Contents
Introduction
Introductory Stuff
General Processing Steps
Univariate Data
Statistical Tests
Bivariate Data
Multivariate Data
Basic Knowledge
Optimization
Modeling
Introduction
Modeling with latent variables
MLR
PCA
Factor Analysis
PLS
Neural Networks
Classification and Discrimination
Introduction
Linear Discriminant Analysis
KNN classification
Self Organizing Maps
Cluster Analysis
Cluster Analysis
Agglomerative Clustering
Dendrograms
Minimal Spanning Tree
Math Background
Chemometrics
Appendix
Last Update: 2006-Jän-19